{"id":"W1981055375","doi":"10.4043/19163-ms","title":"Toward Low Costs for High Cost Resources","year":2008,"lang":"en","type":"article","venue":"Offshore Technology Conference","topic":"Reservoir Engineering and Simulation Methods","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"ConocoPhillips (Canada)","funders":"","keywords":"Operational excellence; Excellence; Resource (disambiguation); Commodity; Scale (ratio); Unit (ring theory); Opportunity cost; Unit cost; Computer science; Business; Environmental economics; Industrial organization; Risk analysis (engineering); Marketing; Economics; Finance; Microeconomics","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001126823,0.0001830904,0.0002579435,0.0002467731,0.00008064362,0.00001688209,0.0003580371,0.0002994654,0.0000490048],"category_scores_gemma":[0.0001590219,0.0001856924,0.00004384504,0.0002987616,0.0001448767,0.00007270103,0.00003951905,0.0002498741,0.00002633513],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005784672,"about_ca_system_score_gemma":0.00002206681,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00000442181,"about_ca_topic_score_gemma":0.000004351215,"domain_scores_codex":[0.9991295,0.00001297213,0.000211639,0.0002165233,0.0001062043,0.000323173],"domain_scores_gemma":[0.9993263,0.0001080749,0.00002537009,0.0003629765,0.0001146384,0.00006265933],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00009325766,0.00009929606,0.01092384,0.0004713082,0.000259633,0.0001223306,0.001089854,0.7700443,0.01735121,0.06314181,0.01752214,0.118881],"study_design_scores_gemma":[0.002389553,0.00023387,0.005326523,0.0001790666,0.000035167,0.0001289118,0.0002129272,0.7715691,0.0793023,0.007233161,0.1322452,0.001144268],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7076358,0.0001973587,0.2881416,0.0005416773,0.000258031,0.0002882085,0.00001863351,0.001597229,0.001321482],"genre_scores_gemma":[0.9635358,0.0001347965,0.03571836,0.000019219,0.00005407615,0.0001428309,0.00001579821,0.0000355084,0.0003436474],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2559,"threshold_uncertainty_score":0.7572317,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03390676032006432,"score_gpt":0.2606969125317347,"score_spread":0.2267901522116704,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}